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import streamlit as st | |
import wandb | |
import pandas as pd | |
# Initialize W&B API | |
api = wandb.Api() | |
# Replace with your W&B entity and project name | |
entity = "urbaniak-bruno-safescanai" | |
project = "pytorch-intro" | |
# Fetch all runs from the project | |
runs = api.runs(f"{entity}/{project}") | |
# Select a specific run (or create a dropdown for the user to select) | |
run = runs[0] # Example: selecting the first run | |
# Fetch the run data as a pandas DataFrame | |
run_df = run.history() | |
# Streamlit UI | |
st.title("W&B Data in Streamlit") | |
st.write(f"Displaying data for run: {run.name}") | |
st.dataframe(run_df) | |
# Example: Plotting a graph from the data | |
st.line_chart(run_df[['epoch', 'accuracy']]) # Replace with appropriate columns | |